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Here are the top 10 in-demand AI skills that will enhance your career in FAANG companies.

Artificial intelligence is the future and has a great potential to transform businesses, economies, and societies. AI enhances the speed, efficiency, and precision of human efforts and is being adopted across most industries. Its important for tech professionals to consider honing their skills in certain areas if they want to pursue a career in AI. AI skills like Data mining, Neural Network Architecture, cloud computing, programming languages, and so on can help them land prestigious job positions at FAANG companies. FAANG is an acronym that indicates the stocks of five prominent American technology companies: Facebook, Amazon, Apple, Netflix, and Google. Read on to find out more about the key AI skills in demand for FAANG companies.

1. Cluster Analysis: Cluster analysis is the task of clustering or grouping objects. Its done in such a way that the objects in a group are more similar to one another than those in another group. It will give you wider scope, and you can develop your career in FAANG companies.

2. Shell Scripting: Shell scripting refers to a computer program run by a command-line interpreter called a Unix shell. It is another vital component of artificial intelligence used for pattern recognition. Scripting languages involving various shell script dialects including file manipulation, printing text, and program execution, are very helpful for FAANG interviews.

3. Signal Processing Techniques: Signal processing is another desired skill that organizations may look for in professionals. It may include time-frequency analysis, convolution, Fourier Analysis, and other AI concepts. These techniques enhance storage efficiency, transmission, and quality, and detect some components in a signal.

4. Spark: Learn the fundamentals of Spark, the technology that is revolutionizing the analytics and big data world! Spark is an open-source processing engine built around speed, ease of use, and analytics. Spark allows applications in Hadoop clusters to run up to a hundred times quicker in memory and ten times faster always while running on disk.

5. Hadoop: Hadoop is designed for beginners and professionals. Hadoop is an open-source framework. It is provided by Apache to process and analyze a very huge volume of data. It is written in Java and is currently used by Google, Facebook, LinkedIn, Yahoo, Twitter, and particularly, FAANG companies.

6. Data mining: Data Mining is a process of finding potentially useful patterns from huge data sets. It is a multi-disciplinary skill that uses machine learning, statistics, and AI to extract information to evaluate future events probability. The insights derived from Data Mining are used for marketing, fraud detection, scientific discovery, etc

7. Neural Network Architecture: Neural networks are a part of Deep Learning and are inspired by human brain structure. They are used for adaptive control, predictive modelling, regression analysis, pattern recognition, data processing, and trainable applications.

8. Mathematical Knowledge: Artificial intelligence professionals work extensively on algorithms and applied mathematics. Mathematical skills like linear algebra, statistics, probability, graphs, optimization techniques, etc., are desirable. You can utilize these skills to solve problems and create algorithms based on the requirements.

9. Cloud Computing: The cloud computing market is projected to create nearly a $330 billion market opportunity. Cloud computing essentially involves storing and delivering data, programs, and other computing resources over the internet. Careers with this skill include cloud security engineers, data science engineers, cloud architects, and cloud consultants.

10. Programming Languages: Expert knowledge in programming languages has a surging demand with the current incessant technological advancement. Developing, testing, and building programs and apps require programming skills like C, C++, Java, Python, etc. According to the Bureau of Labour Statistics, the demand for programming as a skill is expected to grow by 22% by 2028, making it a career with a wide array of opportunities in FAANG companies.

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Top 10 AI Skills that will Get You a Job in FAANG Companies in 2022 - Analytics Insight

SkyQuest Technology Consulting Pvt. Ltd.

With the introduction of industry 4.0, various industries are implementing digital technology to improve, automate, and modernize the entire process. Integration of various digital transformation technologies, such as the internet of things (IoT), is becoming increasingly popular due to its various advantages. Additionally, with the adoption of software, digital transformation assists firms in boosting their brand's reputation, customer experience, and client retention ratios. Organizations that have adopted digitalization quickly adapt to the changing technological landscape and deal with industry shifts.

Westford, USA, May 02, 2022 (GLOBE NEWSWIRE) -- The combination of Big Data and modern technology has made processing massive data sets easier than ever before, and industries are increasingly relying on these new, sophisticated tools to help them thrive, from Big Data mining to predictive analytics. According to the German Machinery and Plant Manufacturing Association, big data-based business models are predicted to generate at least 7% more income for German manufacturing enterprises in the upcoming years.

Among all the emerging technologies, Artificial Intelligence is likely to play a substantial role in the market during the forecast period. AI is being used to improve safety by providing preventive maintenance, there has been an increase in the number of accidents. In this case, AI-powered intelligent cameras are being used to gain entry to the risk region and reduce the possibility of damage. Hence, such advantages offered by the digital transformation along with a substantial shift towards the digital transformation are poised to contribute to the growth of the global digital transformation industry during the forecast period.

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Read market research report, " Global Digital Transformation Market is segmented By Technology (Cloud Computing, Big Data and Analytics, Mobility/social media, Cybersecurity, AI, and IoT), By Deployment Type (Cloud and On-Premise), By Organization Size (Large Enterprises and Small and Medium-sized Enterprises (SMEs)) By Vertical (BFSI, Retail, Education) & By Region- Forecast and Analysis 2021-2027 by SkyQuest

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The global digital transformation market is segmented on the basis of technology, deployment type, organization size, vertical, and region. Based on technology, the market is segmented as cloud computing, big data and analytics, mobility/social media, cybersecurity, AI, and IoT. Among these, the cloud computing segment is projected to hold a significant share in the market during the forecast period. Based on deployment type, the market is segmented as cloud and on-premise. Among these, the cloud segment is projected to hold a significant share in the market during the forecast period.

Based on organization size, the market is segmented into large enterprises and small and medium-sized enterprises (SMEs). Among these, the small and medium-sized enterprises (SMEs) segment is projected to hold a significant share in the market during the forecast period. Based on vertical, the market is segmented as BFSI, retail, and education. Among these, the BFSI segment is projected to hold a significant share in the market during the forecast period.

The global Digital Transformation market is segmented based on the geography of North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. Among the regions, the North American region is projected to hold the most substantial share in the market. Regional growth of the market is attributed to the rising prevalence of the internet, as well as the adoption of digital technologies by various industry verticals such as healthcare, retail, manufacturing, and others. Furthermore, the region's quickly changing face of industrialization, driven by market competitiveness, digitization, and dynamic consumer expectations, is driving regional enterprises to adopt new business models and digital technologies. Increased development of technology transformation solutions in the region, owing to businesses' unavoidable needs to convert their traditional processes to digital, as well as the growing adoption of smart devices, IoT, and cloud solutions, would boost growth.

Microsoft Corp. (US), IBM Corp. (US), SAP SE (Germany), Google Inc. (US), Oracle Corp. (US), Cognizant (US), Adobe (US), Accenture Plc (Ireland), HCL Technologies (India), and Aexonic Technologies (US) among others some of the key players operating in the market. The prominent players operating in the market are constantly adopting various growth strategies in order to stay afloat in the market. For an instance, in April 2021, Oracle Corp. started offering its GoldenGate technology as a fully automated, fully managed cloud service that clients can utilize to ensure that their critical data is always available and analyzable in real time, wherever they need it.

The report published by SkyQuest Technology Consulting provides in-depth qualitative insights, historical data, and verifiable projections about market size. The projections featured in the report have been derived using proven research methodologies and assumptions.

Browse summary of the report and Complete Table of Contents (ToC):

https://skyquestt.com/report/digital-transformation-market

SkyQuest has segmented the Global Digital Transformation Market based on Technology, Deployment Type, Organization Size, Vertical, and Region:

Digital Transformation Technology Outlook (Revenue, USD Million, 2021 - 2027)

Cloud Computing

Big Data and Analytics

Mobility/Social Media

Cybersecurity

AI

IoT

Digital Transformation Deployment Type Outlook (Revenue, USD Million, 2021 - 2027)

Digital Transformation Organization Size Outlook (Revenue, USD Million, 2021 - 2027)

Digital Transformation Vertical Outlook (Revenue, USD Million, 2021 - 2027)

Digital Transformation Regional Outlook (Revenue, USD Million, 2021 - 2027)

North America

Europe

Germany

France

UK

Italy

Spain

Rest of Europe

Asia Pacific

China

India

Japan

Rest of Asia Pacific

Central & South America

Middle East & Africa

GCC Countries

South Africa

Rest of MEA

List of Key Players of Digital Transformation Market

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The Global Digital Transformation Market is expected to reach a value of USD 16,800.0 Million by 2027, at a CAGR of 5.3% over the forecast period...

G Mining Ventures Corp. (CVE:GMIN) is possibly approaching a major achievement in its business, so we would like to shine some light on the company. G Mining Ventures Corp. engages in the acquisition, exploration, evaluation, and development of mineral properties. The CA$191m market-cap company announced a latest loss of CA$2.8m on 31 December 2021 for its most recent financial year result. The most pressing concern for investors is G Mining Ventures' path to profitability when will it breakeven? In this article, we will touch on the expectations for the company's growth and when analysts expect it to become profitable.

See our latest analysis for G Mining Ventures

G Mining Ventures is bordering on breakeven, according to the 3 Canadian Metals and Mining analysts. They expect the company to post a final loss in 2023, before turning a profit of CA$29m in 2024. The company is therefore projected to breakeven around 2 years from today. In order to meet this breakeven date, we calculated the rate at which the company must grow year-on-year. It turns out an average annual growth rate of 54% is expected, which is rather optimistic! If this rate turns out to be too aggressive, the company may become profitable much later than analysts predict.

earnings-per-share-growth

Given this is a high-level overview, we wont go into details of G Mining Ventures' upcoming projects, but, bear in mind that typically a metal and mining business has lumpy cash flows which are contingent on the natural resource mined and stage at which the company is operating. This means that a high growth rate is not unusual, especially if the company is currently in an investment period.

Before we wrap up, theres one aspect worth mentioning. G Mining Ventures currently has no debt on its balance sheet, which is rare for a loss-making metals and mining company, which typically has high debt relative to its equity. The company currently operates purely off its shareholder funding and has no debt obligation, reducing concerns around repayments and making it a less risky investment.

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This article is not intended to be a comprehensive analysis on G Mining Ventures, so if you are interested in understanding the company at a deeper level, take a look at G Mining Ventures' company page on Simply Wall St. We've also put together a list of essential factors you should further research:

Valuation: What is G Mining Ventures worth today? Has the future growth potential already been factored into the price? The intrinsic value infographic in our free research report helps visualize whether G Mining Ventures is currently mispriced by the market.

Management Team: An experienced management team on the helm increases our confidence in the business take a look at who sits on G Mining Venturess board and the CEOs background.

Other High-Performing Stocks: Are there other stocks that provide better prospects with proven track records? Explore our free list of these great stocks here.

Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) simplywallst.com.

This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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G Mining Ventures Corp. (CVE:GMIN) Is Expected To Breakeven In The Near Future - Yahoo Finance

A Bioinformatician / Computational Scientist position open in the MYCimmune program, a research collaborative between the University of Helsinki and University of California, San Francisco (UCSF).

The position is located in the Prof. Juha Klefstrms Lab, Medical Faculty, University of Helsinki. The person chosen for the position will participate in the research groups daily activities physically in Helsinki and remotely to collaborative efforts with UCSF. The job involves early morning and late evening meetings few times a month.

The main tasks are connected to a 5-year US Department of Defenses Breast Cancer Research Program, Combining Immunotherapy and MYC Synthetic Lethality for Metastatic Breast Cancer, for which more information can be found in the programs website http://www.mycimmune.org.

In the project, we explore MYC-directed synthetic lethal strategies in the scope of drug discovery, pathway dependency identification, and clinical translation. The research involves analysis of complex molecular datasets from in vitro, ex vivo, in vivo models as well as from public databases. For our recent publications, search PubMed for Klefstrom j. Highlighted: Munne et al Nat Comms 2021, Tervonen et al Cancer Res 2021, Haikala Nat Comms 2019, Pant J.Med Chem 2018.

The projects involve statistical and computational analyses of in-house as well as publicly available datasets for generating computational predictions and data visualization relevant to the projects goals. In addition, we are piloting various processes involving public health and research databases, with intention to integrate the discrete data into a meaningful health knowledge.

Candidate requirements:

We offer:

The initial contract will be for two years, with a possibility for extension. The salary is in accordance with the University salary system depending on the experience and qualifications of the appointee. In addition, University of Helsinki offers comprehensive services to its employees, including occupational health care and opportunities for professional development. Further information at http://www.helsinki.fi/en/about-us/careers/why-university-helsinki/staff-benefits. The employment contract will include a probationary period of six months.

The position is located in the Klefstrm lab, Translational Cancer Research Program, Research Programs Unit, Faculty of Medicine, University of Helsinki (https://klefstromlab.com).

Applications must include CV and a cover letter that clearly describes how your profile and interests are matching with the candidate requirements. Please also describe your most relevant previous achievements in the field and include names and contact information of at least 2 references. The application, together with the required attachments, must be submitted through the University of Helsinki electronic recruitment system by clicking on Apply for the position link. Applicants who are currently employed by the University of Helsinki are requested to submit their application via the SAP Fiori portal at https://msap.sap.helsinki.fi.

In case you need support with the recruitment system, please contact recruitment@helsinki.fi.

Deadline for applications is May 10th, 2022, but the position may be closed sooner if an ideal candidate is identified. For further inquiries, please contact mycimmune-office@helsinki.fi.

Due date

10.05.2022 23:59 EEST

Link:

Bioinformatician / Computational Scientist in the MYCimmune Program job with UNIVERSITY OF HELSINKI | 292085 - Times Higher Education